Package: vidger
Title: Create rapid visualizations of RNAseq data in R
Version: 1.31.0
Authors@R: c(
    person(
        given = "Brandon",
        family = "Monier",
        email = "brandon.monier@gmail.com",
        role = c("aut", "cre")
    ),
    person(
        given = "Adam",
        family = "McDermaid",
        role = "aut"
    ),
    person(
        given = "Jing",
        family = "Zhao",
        role = "aut"
    ),
    person(
        given = "Qin",
        family = "Ma",
        email = "qin.ma@sdstate.edu",
        role = c("aut", "fnd")
    ))
Description:
    The aim of vidger is to rapidly generate information-rich visualizations
    for the interpretation of differential gene expression results from three
    widely-used tools: Cuffdiff, DESeq2, and edgeR.
URL:
    https://github.com/btmonier/vidger,
    https://bioconductor.org/packages/release/bioc/html/vidger.html
BugReports:
    https://github.com/btmonier/vidger/issues
Depends:
    R (>= 3.5)
Imports:
    Biobase,
    DESeq2,
    edgeR,
    GGally,
    ggplot2,
    ggrepel,
    knitr,
    RColorBrewer,
    rmarkdown,
    scales,
    stats,
    SummarizedExperiment,
    tidyr,
    utils
Suggests:
    BiocStyle,
    testthat
Encoding: UTF-8
LazyData: true
VignetteBuilder:
    knitr
RoxygenNote: 7.3.3
License: GPL-3 | file LICENSE
biocViews: ImmunoOncology,
    Visualization,
    RNASeq,
    DifferentialExpression,
    GeneExpression,
    ImmunoOncology
git_url: https://git.bioconductor.org/packages/vidger
git_branch: devel
git_last_commit: bdddd06
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
